17 citations · 23 across the 4 of their papers we have counts for
4 papers
A Framework for Predicting the Impact of Game Balance Changes through Meta Discovery
Akash Saravanan, Matthew Guzdial
A metagame is a collection of knowledge that goes beyond the rules of a game. In competitive, team-based games like Pokémon or League of Legends, it refers to the set of current do…
FineDeb: A Debiasing Framework for Language Models
Akash Saravanan, Dhruv Mullick, Habibur Rahman +1
As language models are increasingly included in human-facing machine learning tools, bias against demographic subgroups has gained attention. We propose FineDeb, a two-phase debias…
Pixel VQ-VAEs for Improved Pixel Art Representation
Akash Saravanan, Matthew Guzdial
Machine learning has had a great deal of success in image processing. However, the focus of this work has largely been on realistic images, ignoring more niche art styles such as p…
Facial Emotion Recognition using Convolutional Neural Networks
Akash Saravanan, Gurudutt Perichetla, K. S. Gayathri
Facial expression recognition is a topic of great interest in most fields from artificial intelligence and gaming to marketing and healthcare. The goal of this paper is to classify…